About The Company :
HL Investrade is a start-up financial services venture offering cutting-edge quantitative investing and trading products. We build objective, quantifiable and non-discretionary models to generate consistent, predictable and stable alpha.

Website: NA

Job Location: Mumbai

Desired experience: 0-2 years

Course Specialization: B.Tech/B.E(C.S/I.T)/BCA/MCA

Target Batch Passout: 2016-2018

Training/Probation Period: None

Salary:- Stipend of INR 6,000 To INR 10,000 for 3 months
- INR 3 LPA To INR 6 LPA post the completion (The final CTC will depend upon candidates’ performance during the interview and will be at the company’s discretion)

Bond: None

Tentative date of Joining: Immediate

Tenative date of interview: Will be communicated post registration window is closed

* The shortlisted candidates will be sent Admit Cards/Call Letters on their registered mail Id, which they will need to, carry on the date of Interview. No candidate will be entertained by the company without the formal intimation from Aspiring Minds.

Job Description and Skill Set Required:

- As a C# Algo trading developer, you will be part of our front office proprietary Algorithmic trading desk
for Indian and global markets. The role encompasses development of low latency algorithmic trading
platform and strategies. The candidate should be highly technology driven with knowledge of latest
trends and its applications.
- Design and development of algorithmic trading systems using C#
- GUI design and development in C#, WPF in MVC framework
- Research low latency development techniques and implement in platform and strategies
- Develop execution and analytical libraries and build infrastructure for it
- Actively participate in design and code reviews

Requirements:

- Bachelor's degree in computer science or related field is required with Masters preferred
- Expertise in C# and WPF (atleast 6 months projects/experience)
- Excellent programming skills in C# including multithreading and code with low memory footprint
- Prior experience in a financial domain is a big plus (optional)
- Excellent in Algorithms and Data Structures with strong OOPS concept
- Experience in the development of highly scalable, distributed systems
- Ability to take ownership of projects
- Team-oriented person who wants to work in a fun, dynamic, fast-paced development environment.

Interview Process:

- Face To Face Interview